Posts under ‘Learning’

This is a must-watch video from the Allen Institute for AI for anyone seriously interested in artificial intelligence. It’s 70 minutes long, but worth it. Some of the highlights from my perspective are: 27:27 where the key reason that deep learning approaches fail at understanding language are discussed 31:30 where the inability of inductive approaches [...]

We are working on educational technology. That is, technology to assist in education. More specifically, we are developing software that helps people learn. There are many types of such software. We are most immediately focused on two such types. adaptive educational technology for personalized learning cognitive tutors The term “adaptive” with regard to educational technology [...]

For those of us that enjoy the intersection of machine learning and natural language, including “deep learning”, which is all the rage, here is an interesting paper on generalizing vector space models of words to broader semantics of English by Jayant Krishnamurthy, a PhD student of Tom Mitchell at Carnegie Mellon University: Krishnamurthy, Jayant, and [...]

IBM recently posted this video which suggests the relevance of Watson’s capabilities to medical education. The demo uses cases such as occur on the USMLE exam and Waton’s ability to perform evidentiary reason given large bodies of text. The “reasoning paths” followed by Watson in presenting explanations or decision support material use a nice, increasingly [...]

Orin Etzioni is a marvelous choice to lead the Allen Institute for AI (aka AI2). The NL/ML path is the right path for scaling up the deep knowledge that Paul Allen’s vision of a Digital Aristotle requires. You can read more about it below and here’s more background on the change in the direction and [...]

Benjamin Grosof and I will be presenting the following review of recent work at Vulcan towards Digital Aristotle as part of Project Halo at SemTechBiz in San Francisco the first week of June. Acquiring deep knowledge from text We show how users can rapidly specify large bodies of deep logical knowledge starting from practically unconstrained [...]

Ian Ayres, the author of Super Crunchers, gave a keynote at Fair Isaac’s Interact conference in San Francisco this morning. He made a number of interesting points related to his thesis that intuitive decision making is doomed. I found his points on random trials much more interesting, however. In one of his examples on “The [...]

In this article I hope you learn the future of predictive analytics in decision management and how tighter integration between rules and learning are being developed that will adaptively improve diagnostic capabilities, especially in maximizing profitability and detecting adversarial conduct, such as fraud, money laundering and terrorism. Business Intelligence Visualizing business performance is obviously important, [...]